Sr. Data Engineer

Sr. Data Engineer At Storable, we're on a mission to power the future of storage. Our innovative platform helps businesses manage, track, and grow their self-storage operations, and we’re looking for a Sr. Data Engineer to join our data-driven team. Storable is committed to leveraging cutting-edge technologies to improve the efficiency, accessibility, and insights derived from data — empowering our teams to make smarter decisions and drive meaningful growth. As a Sr. Data Engineer, you will play an important role in building and maintaining scalable data systems that support analytics, reporting, and product innovation. You will collaborate closely with senior engineers and cross-functional partners to ensure our data is reliable, accessible, and actionable across the organization. Key Responsibilities: Build Maintain Data Pipelines: Design, implement, and maintain scalable data pipelines using modern data tools to process and manage large datasets efficiently. ETL Development: Develop and optimize ETL/ELT pipelines to ingest, transform, and deliver data from multiple internal and external sources. Workflow Orchestration: Build and manage workflows using Apache Airflow to ensure reliable scheduling and monitoring of data processes. Query Engines Processing Frameworks: Leverage tools such as Trino (Presto), Apache Spark, and related distributed processing technologies to support analytics and data applications. Data Modeling Warehousing: Contribute to schema design and data modeling efforts to ensure clean, well-structured, and scalable data architecture. Data Quality Governance Support: Implement monitoring, validation checks, and best practices to ensure data accuracy, consistency, and reliability. Optimize Data Infrastructure: Utilize AWS services (S3, Redshift, Glue, Athena, Lambda) and modern data technologies (e.g., Apache Iceberg) to support a scalable and efficient data platform. Cross-Functional Collaboration: Partner with engineering, product, analytics, and business teams to understand requirements and deliver high-quality data solutions. Monitor Improve Performance: Proactively monitor pipelines and workflows, troubleshoot issues, and continuously improve performance and reliability. Qualifications: 5+ years of experience building and maintaining data pipelines or working in data engineering or related roles. Hands-on experience with data tools such as Apache Airflow, Apache Spark, Apache Iceberg, Trino/Presto, and AWS services (S3, Redshift, Glue, Athena, Lambda). Proficiency in Python (or similar language) for data processing and pipeline development. Solid understanding of data warehousing concepts, schema design, and data modeling best practices. Experience deploying and supporting data pipelines in production environments. Strong analytical skills and ability to diagnose and resolve data-related issues. Ability to communicate effectively with both technical and non-technical stakeholders and work in cross-functional teams. Bonus Points: Experience with visualization tools such as Looker or Tableau. Exposure to data governance, privacy, and quality frameworks. Familiarity with CI/CD practices and version control for data workflows. All applicants must be currently authorized to work in the United States on a full-time basis. Storable is a fully distributed company, but is currently only registered for employment in certain states. To be eligible for employment, you must reside in the following states: AL, AZ, CA, CO, CT, FL, GA, ID, IL, IN, IA, KS, LA, MD, MA, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI, WY. About Us: At Storable, we’re redefining property management for specialty real estate. Tailored for the self-storage, marine, and RV camping industries, we seamlessly integrate management software with marketplace listings, websites, CRM, insurance, payments and more. Dedicated to empowering owners and operators, Storable helps you win more ever ... (truncated, view full listing at source)